{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import k3d\n",
    "import numpy as np\n",
    "\n",
    "position1 = [0.5, 1.0, 0.0]\n",
    "position2 = [-0.5, -1.0, 0.0]\n",
    "\n",
    "plot = k3d.plot()\n",
    "plot += k3d.texture_text('K3D Jupyter', position1, color=0xff0000, font_face='Arial', font_weight=300, size=2.0)\n",
    "plot += k3d.texture_text('K3D Jupyter', position2, color=0xff0000, font_face='Arial', font_weight=700, size=1.0)\n",
    "plot.display()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Multipile texts in single object\n",
    "\n",
    "N = 20\n",
    "positions = np.random.randn(N,3).astype(np.float32)\n",
    "\n",
    "plot2 = k3d.plot()\n",
    "obj = k3d.texture_text([\"lorem ipsum\"] * N, positions, is_html=True)\n",
    "plot2 += obj\n",
    "plot2.display()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "obj.text = list(map(lambda a: str(a), list(range(N))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "obj.position = np.random.randn(N,3).astype(np.float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
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 "nbformat": 4,
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